Product Data Analyst, Shotgun

• You have 2 years of experience minimum, including one solid full-time experience on a similar topic (financial data or a regulated, high-rigor environment: fintech, payments, fraud, compliance)
• You have very strong data modeling skills and solid SQL (complex queries)
• You have a strong analytical mind and a solid academic background
• You are comfortable with numbers and want to go deeper into Python, dashboards and product metrics
• You have a strong appetite for the product (product experience is not required)
• You use AI tools in your day-to-day work
• You are fluent in French and English

Desirable

• Define and monitor the squad's metrics, including financial metrics, and educate the team and stakeholders on how to read them
• Lead data reconciliation projects between PSP data (Stripe and others), internal ledgers and accounting systems
• Design advanced data models for financial flows (payments, payouts, taxes, compliance reporting) and challenge the existing data model and metrics
• Define a clear standard and set up ownership for business-critical financial data
• Support the PSP architecture revamp: data quality checks, migration validation, monitoring
• Contribute to discovery, tracking specs and QA, monitoring after launch, bug analysis and A/B tests when relevant
• Collaborate with your squad, Ops and Finance
• Contribute to the Data Platform (dbt, Snowflake, Airbyte) beyond your squad scope
• Context engineering for AI: build and keep up to date the context source of truth (metric definitions, business rules, documentation) that our AI agents rely on